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| Criterion | ![]() Product Discovery Kano Model | ![]() Facilitation Dot Voting | ![]() Decision Making Decision Matrix | ![]() Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | When features need to be distinguished by their effect on satisfaction, it makes expectations and surprises comparable. It separates basic needs, performance contribution, and delight. | When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | When ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | 1-2 Tage | 5-15 min | 45-90 min | 30-60 min |
Participantsdifferent | 10-50 | 3-20 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Kano Matrix, Feature Classes, Priority Themes | Ranked list, Consensus signal, Shortlist | Decision Matrix, Scoring Rationale, Selected Option | ICE Table, Top Idea List |
Tagsno overlap | SatisfactionPrioritizationCustomer | FacilitationVotingConsensusPrioritization | DecisionCriteriaScoringTradeoffs | PrioritizationScoringGrowthDecision |



